Gpt Researcher
An autonomous agent that conducts deep research on any data using any LLM providers
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Free
API key required
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](https://gptr.dev) [ [](https://discord.gg/QgZXvJAccX)
[](https://badge.fury.io/py/gpt-researcher)
](https://colab.research.google.com/github/assafelovic/gpt-researcher/blob/master/docs/docs/examples/pip-run.ipynb) [ ](https://skills.sh/assafelovic/gpt-researcher/gpt-researcher) [
🔎 GPT Researcher
GPT Researcher is an open deep research agent designed for both web and local research on any given task.
The agent produces detailed, factual, and unbiased research reports with citations. GPT Researcher provides a full suite of customization options to create tailor made and domain specific research agents. Inspired by the recent Plan-and-Solve and RAG papers, GPT Researcher addresses misinformation, speed, determinism, and reliability by offering stable performance and increased speed through parallelized agent work.
Our mission is to empower individuals and organizations with accurate, unbiased, and factual information through AI.
Why GPT Researcher?
- Objective conclusions for manual research can take weeks, requiring vast resources and time.
- LLMs trained on outdated information can hallucinate, becoming irrelevant for current research tasks.
- Current LLMs have token limitations, insufficient for generating long research reports.
- Limited web sources in existing services lead to misinformation and shallow results.
- Selective web sources can introduce bias into research tasks.
Demo
Install as Claude Skill
Extend Claude's deep research capabilities by installing GPT Researcher as a Claude Skill:
Once installed, Claude can leverage GPT Researcher's deep research capabilities directly within your conversations.
Architecture
The core idea is to utilize 'planner' and 'execution' agents. The planner generates research questions, while the execution agents gather relevant information. The publisher then aggregates all findings into a comprehensive report.
Steps:
- Create a task-specific agent based on a research query.
- Generate questions that collectively form an objective opinion on the task.
- Use a crawler agent for gathering information for each question.
- Summarize and source-track each resource.
- Filter and aggregate summaries into a final research report.
Tutorials
Features
Don't lose this
Three weeks from now, you'll want Gpt Researcher again. Will you remember where to find it?
Save it to your library and the next time you need Gpt Researcher, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. An autonomous agent that conducts deep research on any data using any LLM providers. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.
What's New
Imported from GitHub
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